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<a href="gemv__batched__strided_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="aligned__buffer_8h.html">cutlass/aligned_buffer.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="array_8h.html">cutlass/array.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="matrix__shape_8h.html">cutlass/matrix_shape.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="include_2cutlass_2gemm_2gemm_8h.html">cutlass/gemm/gemm.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">namespace </span>kernel {</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm_1_1kernel_1_1detail.html">   44</a></span>&#160;<span class="keyword">namespace </span>detail</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> ElementAlphaBeta, <span class="keywordtype">bool</span> BetaIsZero&gt;</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html">   47</a></span>&#160;  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html">GemvBatchedStridedEpilogueScaling</a></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  {</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">   49</a></span>&#160;    ElementAlphaBeta <span class="keyword">const</span> &amp; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">alpha</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#abcd99b63173e4330a75558e78a756296">   50</a></span>&#160;    ElementAlphaBeta <span class="keyword">const</span> &amp; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#abcd99b63173e4330a75558e78a756296">beta</a>;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    CUTLASS_DEVICE</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#a55f36af0801edcbde757a0cbfae7229c">   53</a></span>&#160;    <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#a55f36af0801edcbde757a0cbfae7229c">GemvBatchedStridedEpilogueScaling</a>(ElementAlphaBeta&amp; alpha_, ElementAlphaBeta&amp; beta_) :</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;      alpha(alpha_), beta(beta_)</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    { }</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> FragmentCD, <span class="keyword">typename</span> FragmentAccumulator&gt;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    CUTLASS_DEVICE</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#a822364cf966d0eb32949ebb7f17817d7">   59</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#a822364cf966d0eb32949ebb7f17817d7">operator()</a>(FragmentAccumulator&amp; accumulators,</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                    FragmentCD <span class="keyword">const</span>&amp; fragment_C,</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                    FragmentCD&amp; fragment_D)<span class="keyword"> const</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;      <span class="keyword">using</span> AccType = <span class="keyword">typename</span> FragmentAccumulator::value_type;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;      <span class="keyword">using</span> CDType = <span class="keyword">typename</span> FragmentCD::value_type;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;      <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(FragmentCD::kElements == FragmentAccumulator::kElements,</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                    <span class="stringliteral">&quot;Mistmatch in fragment sizes.&quot;</span>);</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; FragmentCD::kElements; ++i)</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;      {</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        <span class="keywordflow">if</span> (BetaIsZero)</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;          fragment_D[i] = CDType(accumulators[i] * AccType(alpha));</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        }</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;          fragment_D[i] = CDType(accumulators[i] * AccType(alpha)</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                                 + AccType(fragment_C[i]) * AccType(beta));</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        } </div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;      } </div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    }</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  };</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;}</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> GemvKernel, <span class="keyword">typename</span> ElementAlphaBeta, <span class="keywordtype">bool</span> BetaIsZero=false&gt;</div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm_1_1kernel.html#a712b03b425a0709765e56d259169793a">   88</a></span>&#160;CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1gemm_1_1kernel.html#a712b03b425a0709765e56d259169793a">GemvBatchedStridedDevice</a>(</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  <a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html">cutlass::gemm::BatchedGemmCoord</a> problem_size,</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  ElementAlphaBeta <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">alpha</a>,</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  ElementAlphaBeta <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#abcd99b63173e4330a75558e78a756296">beta</a>,</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef ref_A,</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef::LongIndex lda, </div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef ref_B,</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef::LongIndex ldb, </div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef ref_C,</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef::LongIndex ldc,</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef ref_D,</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef::LongIndex ldd)</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keyword">using</span> ThreadBlockGemv = <span class="keyword">typename</span> GemvKernel::ThreadBlockGemv;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;  <span class="keyword">using</span> ThreadBlockSwizzle = <span class="keyword">typename</span> GemvKernel::ThreadBlockSwizzle;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  <span class="keyword">using</span> EpilogueScale = <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html">detail::GemvBatchedStridedEpilogueScaling&lt;ElementAlphaBeta, BetaIsZero&gt;</a>;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;  ThreadBlockSwizzle swizzler;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  <span class="comment">// Compute initial location in logical coordinates</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  <a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html">BatchedGemmCoord</a> tb_offset = swizzler.get_tile_offset();</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  <span class="keywordtype">int</span> <span class="keyword">const</span> batch_idx = swizzler.get_batch_idx();</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="comment">// Offset to the batch</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  ref_A.add_pointer_offset(batch_idx*lda);</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  ref_B.add_pointer_offset(batch_idx*ldb);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  <span class="comment">// Construct iterators to A and B operands</span></div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::Params params_A(ref_A.layout());</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA iterator_A(</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;      params_A,</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      ref_A.data(),</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;      { 1, problem_size.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#ab85de6cc625dd61523b37ce8d36a7e6e">k</a>() },</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;      0,</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;      { 0, 0 });</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::Params params_B(ref_B.layout());</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB iterator_B(</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;      params_B,</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;      ref_B.data(),</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;      { problem_size.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#ab85de6cc625dd61523b37ce8d36a7e6e">k</a>(), problem_size.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">n</a>() },</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;      threadIdx.x,</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;      { 0, tb_offset.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">n</a>()*ThreadBlockGemv::Shape::kN });</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;  <span class="comment">// Main loop</span></div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  <span class="comment">// Construct thread-scoped matrix multiply</span></div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  ThreadBlockGemv mma;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  <span class="keyword">typename</span> ThreadBlockGemv::FragmentC accumulators;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;  accumulators.clear();</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <span class="comment">// Compute threadblock-scoped gemv</span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  mma(problem_size.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#aca44ec13cf0d22f3074b920401b4a089">mnk</a>(), accumulators, iterator_A, iterator_B, accumulators);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;  <span class="comment">// Epilogue (TODO: Epiloge as template argument)</span></div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  <span class="keyword">typename</span> GemvKernel::FragmentCD fragment_CD;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <span class="comment">// Load C (skip if beta is zero)</span></div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="keywordflow">if</span> (!BetaIsZero)</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  {</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    tb_offset = swizzler.get_tile_offset();</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    ref_C.add_pointer_offset(batch_idx*ldc);</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keyword">typename</span> GemvKernel::IteratorCD::Params params_C(ref_C.layout());</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keyword">typename</span> GemvKernel::IteratorCD iterator_C(</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        params_C,</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        ref_C.data(),</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        { 1, problem_size.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">n</a>() },</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        threadIdx.x,</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        { 0, tb_offset.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">n</a>()*ThreadBlockGemv::Shape::kN });</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    iterator_C.load(fragment_CD);</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  }</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="comment">// Apply alpha/beta scaling</span></div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  EpilogueScale epilogue_scale(alpha, beta);</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;  epilogue_scale(accumulators, fragment_CD, fragment_CD);</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  <span class="comment">// Store D</span></div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  tb_offset = swizzler.get_tile_offset();</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;  ref_D.add_pointer_offset(batch_idx*ldd);</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::Params params_D(ref_D.layout());</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD iterator_D(</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;      params_D,</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;      ref_D.data(),</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;      { 1, problem_size.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">n</a>() },</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;      threadIdx.x,</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;      { 0, tb_offset.<a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">n</a>()*ThreadBlockGemv::Shape::kN });</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  iterator_D.store(fragment_CD);</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;}</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> GemvKernel, <span class="keyword">typename</span> ElementAlphaBeta, <span class="keywordtype">bool</span> BetaIsZero&gt;</div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm_1_1kernel.html#a8b54a05e5198735ec7e162dac8174a89">  183</a></span>&#160;__global__ <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1gemm_1_1kernel.html#a8b54a05e5198735ec7e162dac8174a89">GemvBatchedStrided</a>(</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html">cutlass::gemm::BatchedGemmCoord</a> problem_size,</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  ElementAlphaBeta <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">alpha</a>,</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;  ElementAlphaBeta <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#abcd99b63173e4330a75558e78a756296">beta</a>,</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef ref_A,</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef::LongIndex lda, </div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef ref_B,</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef::LongIndex ldb, </div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef ref_C,</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef::LongIndex ldc,</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef ref_D,</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef::LongIndex ldd)</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;{</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  GemvBatchedStridedDevice&lt;GemvKernel, ElementAlphaBeta, BetaIsZero&gt;(</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    problem_size, <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">alpha</a>, <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#abcd99b63173e4330a75558e78a756296">beta</a>, ref_A, lda, ref_B, ldb, ref_C, ldc, ref_D, ldd</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;  );</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;}</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> GemvKernel, <span class="keyword">typename</span> ElementAlphaBeta&gt;</div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm_1_1kernel.html#a55ddc9e826fb95a090031005c95f8502">  202</a></span>&#160;__global__ <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1gemm_1_1kernel.html#a8b54a05e5198735ec7e162dac8174a89">GemvBatchedStrided</a>(</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  <a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html">cutlass::gemm::BatchedGemmCoord</a> problem_size,</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  ElementAlphaBeta <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">alpha</a>,</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef ref_A,</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef::LongIndex lda, </div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef ref_B,</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef::LongIndex ldb, </div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef ref_D,</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef::LongIndex ldd)</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;{</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;  GemvBatchedStridedDevice&lt;GemvKernel, ElementAlphaBeta, true&gt;(</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    problem_size, <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">alpha</a>, ElementAlphaBeta(0), ref_A, lda, ref_B, ldb, ref_D, ldd, ref_D, ldd</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;  );</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;}</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> GemvKernel&gt;</div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm_1_1kernel.html#a2dda6701792d7cac23aa4971a18daddf">  218</a></span>&#160;__global__ <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1gemm_1_1kernel.html#a8b54a05e5198735ec7e162dac8174a89">GemvBatchedStrided</a>(</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;  <a class="code" href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html">cutlass::gemm::BatchedGemmCoord</a> problem_size,</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef ref_A,</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorA::TensorRef::LongIndex lda, </div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef ref_B,</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorB::TensorRef::LongIndex ldb, </div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef ref_D,</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;  <span class="keyword">typename</span> GemvKernel::IteratorCD::TensorRef::LongIndex ldd)</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;{</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  <span class="keyword">using</span> ElementAlphaBeta = <span class="keyword">typename</span> GemvKernel::IteratorCD::Element;</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  GemvBatchedStridedDevice&lt;GemvKernel, ElementAlphaBeta, true&gt;(</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    problem_size, ElementAlphaBeta(1), ElementAlphaBeta(0), ref_A, lda, ref_B, ldb, ref_D, ldd, ref_D, ldd</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  );</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;}</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;} <span class="comment">// namespace kernel</span></div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;} <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1BatchedGemmCoord_html_aca44ec13cf0d22f3074b920401b4a089"><div class="ttname"><a href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#aca44ec13cf0d22f3074b920401b4a089">cutlass::gemm::BatchedGemmCoord::mnk</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE GemmCoord mnk() const </div><div class="ttdoc">Obtains a GemmCoord from BatchedGemmCoord. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:330</div></div>
<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
<div class="ttc" id="namespacecutlass_1_1gemm_1_1kernel_html_a712b03b425a0709765e56d259169793a"><div class="ttname"><a href="namespacecutlass_1_1gemm_1_1kernel.html#a712b03b425a0709765e56d259169793a">cutlass::gemm::kernel::GemvBatchedStridedDevice</a></div><div class="ttdeci">CUTLASS_DEVICE void GemvBatchedStridedDevice(cutlass::gemm::BatchedGemmCoord problem_size, ElementAlphaBeta alpha, ElementAlphaBeta beta, typename GemvKernel::IteratorA::TensorRef ref_A, typename GemvKernel::IteratorA::TensorRef::LongIndex lda, typename GemvKernel::IteratorB::TensorRef ref_B, typename GemvKernel::IteratorB::TensorRef::LongIndex ldb, typename GemvKernel::IteratorCD::TensorRef ref_C, typename GemvKernel::IteratorCD::TensorRef::LongIndex ldc, typename GemvKernel::IteratorCD::TensorRef ref_D, typename GemvKernel::IteratorCD::TensorRef::LongIndex ldd)</div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:88</div></div>
<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
<div class="ttc" id="namespacecutlass_1_1gemm_1_1kernel_html_a8b54a05e5198735ec7e162dac8174a89"><div class="ttname"><a href="namespacecutlass_1_1gemm_1_1kernel.html#a8b54a05e5198735ec7e162dac8174a89">cutlass::gemm::kernel::GemvBatchedStrided</a></div><div class="ttdeci">__global__ void GemvBatchedStrided(cutlass::gemm::BatchedGemmCoord problem_size, ElementAlphaBeta alpha, ElementAlphaBeta beta, typename GemvKernel::IteratorA::TensorRef ref_A, typename GemvKernel::IteratorA::TensorRef::LongIndex lda, typename GemvKernel::IteratorB::TensorRef ref_B, typename GemvKernel::IteratorB::TensorRef::LongIndex ldb, typename GemvKernel::IteratorCD::TensorRef ref_C, typename GemvKernel::IteratorCD::TensorRef::LongIndex ldc, typename GemvKernel::IteratorCD::TensorRef ref_D, typename GemvKernel::IteratorCD::TensorRef::LongIndex ldd)</div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:183</div></div>
<div class="ttc" id="matrix__shape_8h_html"><div class="ttname"><a href="matrix__shape_8h.html">matrix_shape.h</a></div><div class="ttdoc">Defines a Shape template for matrix tiles. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1BatchedGemmCoord_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html">cutlass::gemm::BatchedGemmCoord</a></div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:260</div></div>
<div class="ttc" id="aligned__buffer_8h_html"><div class="ttname"><a href="aligned__buffer_8h.html">aligned_buffer.h</a></div><div class="ttdoc">AlignedBuffer is a container for trivially copyable elements suitable for use in unions and shared me...</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1BatchedGemmCoord_html_ab85de6cc625dd61523b37ce8d36a7e6e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#ab85de6cc625dd61523b37ce8d36a7e6e">cutlass::gemm::BatchedGemmCoord::k</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const &amp; k() const </div><div class="ttdoc">Returns the GEMM K coordinate. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:314</div></div>
<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling_html_abcd99b63173e4330a75558e78a756296"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#abcd99b63173e4330a75558e78a756296">cutlass::gemm::kernel::detail::GemvBatchedStridedEpilogueScaling::beta</a></div><div class="ttdeci">ElementAlphaBeta const &amp; beta</div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:50</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling_html_a822364cf966d0eb32949ebb7f17817d7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#a822364cf966d0eb32949ebb7f17817d7">cutlass::gemm::kernel::detail::GemvBatchedStridedEpilogueScaling::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(FragmentAccumulator &amp;accumulators, FragmentCD const &amp;fragment_C, FragmentCD &amp;fragment_D) const </div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:59</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling_html_afd6c2151dbdd056d214d5ccee685c676"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#afd6c2151dbdd056d214d5ccee685c676">cutlass::gemm::kernel::detail::GemvBatchedStridedEpilogueScaling::alpha</a></div><div class="ttdeci">ElementAlphaBeta const &amp; alpha</div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:49</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html">cutlass::gemm::kernel::detail::GemvBatchedStridedEpilogueScaling</a></div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:47</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1BatchedGemmCoord_html_a67c16efaba4f8e87fb226bac4ccb0ad8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1BatchedGemmCoord.html#a67c16efaba4f8e87fb226bac4ccb0ad8">cutlass::gemm::BatchedGemmCoord::n</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const &amp; n() const </div><div class="ttdoc">Returns the GEMM N coordinate. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:306</div></div>
<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling_html_a55f36af0801edcbde757a0cbfae7229c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1detail_1_1GemvBatchedStridedEpilogueScaling.html#a55f36af0801edcbde757a0cbfae7229c">cutlass::gemm::kernel::detail::GemvBatchedStridedEpilogueScaling::GemvBatchedStridedEpilogueScaling</a></div><div class="ttdeci">CUTLASS_DEVICE GemvBatchedStridedEpilogueScaling(ElementAlphaBeta &amp;alpha_, ElementAlphaBeta &amp;beta_)</div><div class="ttdef"><b>Definition:</b> gemv_batched_strided.h:53</div></div>
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